A Simple and Effective Approach to Automatic Post-Editing with Transfer
Learning

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

14 June 2019

Gonçalo M. Correia

André F. T. Martins

Papers citing "A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning"

9 / 9 papers shown

Title
Leveraging GPT-4 for Automatic Translation Post-Editing Vikas Raunak Amr Sharaf Yiren Wang H. Awadallah Arul Menezes 18 62 0 24 May 2023
PePe: Personalized Post-editing Model utilizing User-generated Post-edits Jihyeon Janel Lee Taehee Kim Yunwon Tae Cheonbok Park Jaegul Choo 24 0 0 21 Sep 2022
Automatic Correction of Human Translations Jessy Lin G. Kovács Aditya Shastry Joern Wuebker John DeNero 39 3 0 17 Jun 2022
Transfer Learning for Sequence Generation: from Single-source to Multi-source Xuancheng Huang Jingfang Xu Maosong Sun Yang Liu 33 5 0 31 May 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries Kaiqiang Song Bingqing Wang Z. Feng Fei Liu 22 17 0 05 Apr 2021
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing António Vilarinho Lopes M. Amin Farajian Gonçalo M. Correia Jonay Trénous André F. T. Martins 33 35 0 30 May 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 304 6,996 0 20 Apr 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016